def test_precomputed_kernel(self):
"""Statistic Kernels"""
d = np.random.randn(50, 50)
nk = PrecomputedKernel(matrix=d)
nk.compute()
self.assertTrue((d == nk._k).all(),
'Failure setting and retrieving PrecomputedKernel data')
def test_precomputed_kernel(self):
"""Statistic Kernels"""
d = np.random.randn(50, 50)
nk = PrecomputedKernel(matrix=d)
nk.compute()
self.assertTrue((d == nk._k).all(),
'Failure setting and retrieving PrecomputedKernel data')
def test_sg_conversions(self):
nk = PrecomputedKernel(matrix=np.random.randn(50, 50))
nk.compute()
skip_if_no_external('shogun',
ver_dep='shogun:rev', min_version=4455)
sk = nk.as_sg()
sk.compute()
# CustomKernels interally store as float32 ??
self.assertTrue((nk._k.astype('float32') == \
sk.as_raw_np().astype('float32')).all(),
'Failure converting arrays between NP as SG')
def test_sg_conversions(self):
nk = PrecomputedKernel(matrix=np.random.randn(50, 50))
nk.compute()
skip_if_no_external('shogun',
ver_dep='shogun:rev', min_version=4455)
sk = nk.as_sg()
sk.compute()
# CustomKernels interally store as float32 ??
self.assertTrue((nk._k.astype('float32') == \
sk.as_raw_np().astype('float32')).all(),
'Failure converting arrays between NP as SG')
